Paper Citation Record · LEDGER

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework

As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2501.00051.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.00051 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:52:11.073449Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:15:57.359300Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T11:15:57.628744Z

Reference resolution

42 of 42 outbound references displayed

verified exact1
verified fuzzy33
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d67fca7-d279-4ddc-81ae-55f3ae0e90a2 · outbound

This paper cites Machine learning based digital twin framework for production optimization in petrochemical industry,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Machine learning based digital twin framework for production optimization in petrochemical industry,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.714684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cf8e51be-ee71-45c1-b323-3a3be1d2de8f · outbound

This paper cites The convergence of digital twin, iot, and machine learning: transforming data into action,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework The convergence of digital twin, iot, and machine learning: transforming data into action,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.703395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 54e87b10-24c9-48e7-851e-b460d1cd5572 · outbound

This paper cites The role of ai, machine learning, and big data in digital twinning: A systematic literature review, challenges, and opportunities,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework The role of ai, machine learning, and big data in digital twinning: A systematic literature review, challenges, and opportunities,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.691968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 32c90539-a5bf-41de-afa1-4003f3a046be · outbound

This paper cites Developing Digital Twins for Earth Systems: Purpose, Requisites, and Benefits.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Developing Digital Twins for Earth Systems: Purpose, Requisites, and Benefits

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:52:11.264949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f408fb6d-2d60-4d74-9733-e29251731708 · outbound

This paper cites Review of digital twin applications in manufacturing,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Review of digital twin applications in manufacturing,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.679943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e38a32b2-dc87-466c-b980-01f179a42910 · outbound

This paper cites The health digital twin: advancing precision cardiovascular medicine,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework The health digital twin: advancing precision cardiovascular medicine,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.668409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 57cfdfb1-9530-4ad8-8a0c-4c8b92694f06 · outbound

This paper cites Large language models are zero-shot time series forecasters,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Large language models are zero-shot time series forecasters,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T23:52:10.943727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 176802a3-45e5-4fba-9f07-79c32b89a72a · outbound

This paper cites The dynamic data driven applications systems (dddas) paradigm and emerging directions,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework The dynamic data driven applications systems (dddas) paradigm and emerging directions,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.647050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8d4dd216-18e9-4051-a059-21e2b330daa3 · outbound

This paper cites Dt4i4-secure: Digital twin framework for industry 4.0 systems security,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Dt4i4-secure: Digital twin framework for industry 4.0 systems security,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.634427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6ead1d2f-3489-46aa-9459-662a89aa7324 · outbound

This paper cites Respond to change with constancy: Instruction-tuning with llm for non-iid network traffic classification,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Respond to change with constancy: Instruction-tuning with llm for non-iid network traffic classification,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.621255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f9c172e7-e10d-4e59-a906-e439970b25f8 · outbound

This paper cites Draft modeling, simulation, information technology & processing roadmap,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Draft modeling, simulation, information technology & processing roadmap,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.607514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e437a194-d285-4021-8b37-600037a1b2d4 · outbound

This paper cites Machine learning surrogates for surface complexation model of uranium sorption to oxides,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Machine learning surrogates for surface complexation model of uranium sorption to oxides,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.593476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bf80728c-e9cc-4c62-91de-23259abe317a · outbound

This paper cites Lifetime extension approach based on the levenberg–marquardt neural network and power routing of dc–dc converters,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Lifetime extension approach based on the levenberg–marquardt neural network and power routing of dc–dc converters,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.579213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7f5ee221-c748-4290-9f42-5ef938c930b8 · outbound

This paper cites Process monitoring for tower pumping units under variable operational conditions: From an integrated multitasking perspective,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Process monitoring for tower pumping units under variable operational conditions: From an integrated multitasking perspective,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.566421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c53306c5-caa3-447c-b354-543fe0b887fa · outbound

This paper cites Digital twin: Values, challenges and enablers from a modeling perspective,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Digital twin: Values, challenges and enablers from a modeling perspective,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.552842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b3781ab6-16bf-42b9-9480-95d5629c6884 · outbound

This paper cites Dynamic network-centric multi-cloud platform for real-time and data-intensive science workflows,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Dynamic network-centric multi-cloud platform for real-time and data-intensive science workflows,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.540038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7ac93144-2650-4d12-a5cf-077a5ebc17c1 · outbound

This paper cites Generative ai,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Generative ai,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.527277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b105ae8f-d3c1-43f6-a87b-319e2f59382b · outbound

This paper cites Attention is all you need,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Attention is all you need,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T23:52:10.983247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e341e62-b0f9-4b39-8995-f12092b1e4a8 · outbound

This paper cites Chatgpt for good? on opportunities and challenges of large language models for education,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Chatgpt for good? on opportunities and challenges of large language models for education,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.506147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8ce6620f-3368-4987-b28c-a7353c2ddee1 · outbound

This paper cites Large language models are zero-shot reasoners,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Large language models are zero-shot reasoners,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T23:52:10.990072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c25a7a4-9723-49cf-8b28-6d3b6d252757 · outbound

This paper cites Autonomous chemical research with large language models,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Autonomous chemical research with large language models,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T23:52:10.993631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 981c0952-29a6-49af-845d-3669079000f9 · outbound

This paper cites An llm-based approach for enabling seamless human-robot collaboration in assembly,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework An llm-based approach for enabling seamless human-robot collaboration in assembly,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.477087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3c818c19-72e0-48d7-ac3d-8198153cc7e0 · outbound

This paper cites A large language model-based multi-agent manufacturing system for intelligent shopfloor,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework A large language model-based multi-agent manufacturing system for intelligent shopfloor,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T23:52:11.000282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcd4e21f-e347-484a-8a87-5f28853f0202 · outbound

This paper cites Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T23:52:11.003748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e05fb0aa-a27a-4ef5-83a6-67e717184454 · outbound

This paper cites Can LLMs Understand Time Series Anomalies?.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Can LLMs Understand Time Series Anomalies?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T23:52:11.007583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a3e0525-1255-4b51-8f8b-ab8e3a0d4224 · outbound

This paper cites TimeGPT-1.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework TimeGPT-1

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T23:52:11.011595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6faba5de-c1cb-4056-9a93-3d9f55974c72 · outbound

This paper cites Zero-shot forecasting of chaotic systems,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Zero-shot forecasting of chaotic systems,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.464097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 93a9fca2-8166-45c3-b852-27e78a218fc1 · outbound

This paper cites Digital twins: Universal interoperability for the digital age,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Digital twins: Universal interoperability for the digital age,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.438619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d203216b-3573-4710-9e4a-99ae12c6655a · outbound

This paper cites Real-time synchronized calibration and computing system with epics based distributed controls in the tps xbpm system,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Real-time synchronized calibration and computing system with epics based distributed controls in the tps xbpm system,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.425743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7090d857-76e5-4642-b2e5-4e0f2405a1bc · outbound

This paper cites Constrained optimization of sensor placement for nuclear digital twins,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Constrained optimization of sensor placement for nuclear digital twins,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.413715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9a631b38-0e09-48c1-ba0c-f8bd5fa07038 · outbound

This paper cites Ensuring safety, security, and sustainability of mission-critical cyber–physical systems,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Ensuring safety, security, and sustainability of mission-critical cyber–physical systems,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.401784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cc29f856-6d9d-4524-bca7-3722144e8efe · outbound

This paper cites Digital twin: A comprehensive survey of security threats,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Digital twin: A comprehensive survey of security threats,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.389610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 13cda589-9457-4d4f-b884-ef1115766e3c · outbound

This paper cites Wireless anomaly detection based on ieee 802.11 behavior analysis,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Wireless anomaly detection based on ieee 802.11 behavior analysis,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.377670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4c2e793d-20b6-4054-b58d-d75da6ce7483 · outbound

This paper cites Federated cybersecurity testbed as a service (fctaas): A framework to federate cybersecurity testbeds,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Federated cybersecurity testbed as a service (fctaas): A framework to federate cybersecurity testbeds,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.365806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e7a0ed10-f8b1-41b5-8cfc-066dcd1468e9 · outbound

This paper cites Ccri: Planning-c: Federated cloud platform for networked cyber physical systems research,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Ccri: Planning-c: Federated cloud platform for networked cyber physical systems research,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.353262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4f68d48d-c9a0-4743-9786-fe0b484d15e5 · outbound

This paper cites Digital-twin-enabled intelligent distributed clock synchronization in industrial iot systems,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Digital-twin-enabled intelligent distributed clock synchronization in industrial iot systems,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.341517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9a246b06-a8cb-47d7-908e-bebdb2657a28 · outbound

This paper cites Digital twins’ maturity: The need for interoperability,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Digital twins’ maturity: The need for interoperability,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.328149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2f0c9ced-200a-4ed8-b9b8-78db75b5d405 · outbound

This paper cites Improved multi-fidelity simulation-based optimisation: application in a digital twin shop floor,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Improved multi-fidelity simulation-based optimisation: application in a digital twin shop floor,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.315500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5892ef8f-a200-4cce-9159-e3fd0e273fde · outbound

This paper cites A review of bearing failure modes, mechanisms and causes,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework A review of bearing failure modes, mechanisms and causes,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.303330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7cfd76bc-6cb3-48d4-84af-03fbd6de23ab · outbound

This paper cites Real-time drill wear estimation based on spindle motor power,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Real-time drill wear estimation based on spindle motor power,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.290063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7c9f18ff-ce6e-4e1c-b0f6-04d797060ee9 · outbound

This paper cites Tool condition monitoring for form milling of large parts by combining spindle motor current and acoustic emission signals,.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Tool condition monitoring for form milling of large parts by combining spindle motor current and acoustic emission signals,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.277832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cb435dcb-7c82-4235-8a6c-0537e206b985 · outbound

This paper cites Available: https://openreview.net/forum?id=TqYjhJrp9m.

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework Available: https://openreview.net/forum?id=TqYjhJrp9m

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:52:11.451133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 1b549ea5-623b-4189-83c3-dfd067af86fe · inbound

Integrating Generative AI into Cybersecurity Education: A Study of OCR and Multimodal LLM-assisted Instruction cites this paper.

Integrating Generative AI into Cybersecurity Education: A Study of OCR and Multimodal LLM-assisted Instruction DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-05T11:15:57.631736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.